{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CPSC 330 Lecture 22"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Outline:\n",
    "\n",
    "- 👋\n",
    "- **Turn on recording**\n",
    "- Announcements\n",
    "- Ethics, bias, fairness, AI safety (30 min)\n",
    "- Feature importances for computer vision (10 min)\n",
    "- Break (5 min)\n",
    "- Ethics activity (20 min)\n",
    "- Bonus material on combining tables (time-permitting)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Learning objectives\n",
    "\n",
    "- Give examples of ethical issues with the application of machine learning.\n",
    "- At a high level, discuss concerns of AI safety, in particular for deep learning.\n",
    "- At a high level, Explain the possible sources of bias in a machine learning system.\n",
    "- At a high level, consider the societal impacts of machine learning.\n",
    "- Examine features importances for computer vision systems as a means of sanity checking and debugging."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.datasets import mnist\n",
    "from tensorflow.keras.layers import Dense, Dropout, Flatten, Activation, Conv2D, MaxPooling2D, GlobalAveragePooling2D\n",
    "from tensorflow.keras.models import Sequential, Model, load_model\n",
    "from tensorflow.keras.preprocessing.image import img_to_array, load_img\n",
    "from tensorflow.keras import utils\n",
    "from tensorflow.keras.applications.inception_v3 import InceptionV3\n",
    "from tensorflow.keras.applications.resnet50 import ResNet50, preprocess_input, decode_predictions\n",
    "\n",
    "from skimage.segmentation import mark_boundaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['font.size'] = 16"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Announcements\n",
    "\n",
    "- hw9 due Monday 11:59pm\n",
    "- Next class will be a guest lecture on ethics by Sina Fazelpour (who may be here today!)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Attribution\n",
    "\n",
    "Thanks to Ed Knorr for sharing materials from [DSCI 541](https://github.com/UBC-MDS/DSCI_541_priv-eth-sec). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ethics for ML (30 min)\n",
    "\n",
    "- Today I will attempt to say a bit about ethics for applied ML.\n",
    "- Warning: I do not know much about these topics."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Privacy and ethics issues around data have been in the news a lot lately. E.g. the [Cambridge Analytica scandal](https://en.wikipedia.org/wiki/Facebook%E2%80%93Cambridge_Analytica_data_scandal)\n",
    "  - There's even a [Netflix movie](https://www.netflix.com/ca/title/80117542) about it.\n",
    "- We've seen eyebrow-raising results in previous lectures, e.g. inherently biased word embeddings."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There seem to be various problems here:\n",
    "\n",
    "- Ethics\n",
    "- Bias\n",
    "- Fairness\n",
    "- AI safety\n",
    "- Privacy\n",
    "- and more."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I will talk through a bunch of articles and resources."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Bias, intolerance\n",
    "\n",
    "- Bias: we have similar problems as we had with NLP.\n",
    "- These models are trained from huge datasets, we don't exactly know how they work.\n",
    "- See, e.g. [this paper](https://arxiv.org/pdf/1711.11443.pdf), Figure 8.\n",
    "- See [this article](https://www.theregister.com/2020/07/01/mit_dataset_removed/) about the \"80 Million Tiny Images\" dataset.\n",
    "- Nature paper: [A large-scale analysis of racial disparities in police stops across the United States](https://www.nature.com/articles/s41562-020-0858-1)\n",
    "  - Often datasets are collected without manual curation.\n",
    "- Discussion: how could this sort of bias affect peoples' lives negatively?\n",
    "\n",
    "<br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Where does bias come from?\n",
    "\n",
    "- Biases could come from data (if data only has certain groups in certain situations).\n",
    "- Biases could come from labels (if they were generated by humans, or not!).\n",
    "- Biases could come from learning method (this is harder to get at).\n",
    "- Biases in the way the ML method is used/deployed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Strange results\n",
    "\n",
    "- See [this 2019 paper](https://arxiv.org/pdf/1809.04729.pdf) (from UBC), Figure 1."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### AI safety and adversarial examples\n",
    "\n",
    "- See [this 2015 paper](https://arxiv.org/pdf/1412.6572.pdf), Figure 1, for whitebox software attack.\n",
    "- See [this 2018 paper](https://arxiv.org/pdf/1712.09665.pdf), Figure 1, for whitebox **physical** attack. \n",
    "- If the input is a $1000\\times 1000$ image, the input space is so big.\n",
    "  - it is hard to imagine all the possible perturbations, so some of them work out.\n",
    "- See this [Vox article](https://www.vox.com/future-perfect/2019/4/8/18297410/ai-tesla-self-driving-cars-adversarial-machine-learning/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Fake news and deepfakes\n",
    "\n",
    "- You may have heard of [deepfakes](https://en.wikipedia.org/wiki/Deepfake).\n",
    "- See [this 2020 article](https://www.theguardian.com/technology/2020/jan/13/what-are-deepfakes-and-how-can-you-spot-them).\n",
    "  - which led me to this [hilarious 2019 deepfake video](https://www.youtube.com/watch?v=4GdWD0yxvqw&feature=emb_logo). \n",
    "- [Deepfake detection dataset](https://ai.facebook.com/datasets/dfdc/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Environmental impact\n",
    "\n",
    "- Current methods require\n",
    "  – A lot of data.\n",
    "  – A lot of time to train.\n",
    "  – Many training runs to do hyper-parameter optimization.\n",
    "- See [this 2019 paper](https://arxiv.org/pdf/1906.02243.pdf), Table 1, for the CO$_2$ emissions of training a sophisticated deep learning model.\n",
    "  - Entire training procedure emits 5 times more CO2 than lifetime emission of a car, including making the car\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Case study: criminal machine learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Calling BS video 5.5 on [\"Criminal Machine Learning\"](https://www.youtube.com/watch?v=rga2-d1oi30&list=PLPnZfvKID1Sje5jWxt-4CSZD7bUI4gSPS&index=27) (pun intended, presumably?) discussed a case of predicting whether someone is a criminal based on their face.\n",
    "- There is also a text case study [here](https://callingbullshit.org/case_studies/case_study_criminal_machine_learning.html) in which they critique (criticize?) the work.\n",
    "- They show some sample training data:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](https://callingbullshit.org/case_studies/img/criminals.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Your prediction algorithm is only as good (or as bad) as your traning data.\n",
    "- Possible problems: \n",
    "  - Wearing a white shirt and jacket vs. other clothes (turns out the authors removed these).\n",
    "  - Facial expressions (e.g. smiling vs. frowning) - this is what the Calling BS folks think is happening.\n",
    "  - Cropping, lighting, etc.\n",
    "- It would be interesting to try something like SHAP or LIME here to highlight what areas of the image are important."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- But the Calling BS post also raises a fundamentally different type of problem:\n",
    "  - What if the criminal justice system was biased in the first place?\n",
    "  - E.g. it tends to convict less attractive faces.\n",
    "  - Then the algorithm will learn to emulate this.\n",
    "- It would be challenging to get around this problem.\n",
    "- How can our algorithm be \"better\" (less biased) than humans if humans labeled the data?!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a step back here: \n",
    "\n",
    "- How much \"signal\" do we expect to get from faces anyway? \n",
    "  - I would say, maybe a tiny bit better than random. \n",
    "- The authors claim 90% accuracy. That sounds too good to be true. Per the Calling BS videos, if it sounds too good to be true, it probably is.\n",
    "- Even if the results seem to make sense, do the risks outweigh the benefits?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Suggested strategies: experimental set-up problems\n",
    "\n",
    "- Ask yourself, are my results too good to be true?\n",
    "- Use baselines like `DummyClassifier` and `DummyRegressor`.\n",
    "- Look at feature importances.\n",
    "- Manually look at some of the correct/incorrect predictions (or very low/high error for regression).\n",
    "- Try making changes or perturbations (e.g. different train/validation folds) and check if your results are robust.\n",
    "- When you are done, think carefully about your confidence (or _credence_, see lecture 21) regarding any claims you make."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Suggested strategies: ethical/fairness issues\n",
    "\n",
    "- Bias usually comes from the data, not the algorithm. Think carefully about how the training data were collected.\n",
    "- Familiarize yourself with how your model will be used.\n",
    "- Ask yourself who might be affected by this model in deployment. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature importances for computer vision (10 min)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- See [this 2018 blog post](https://medium.com/@jrzech/what-are-radiological-deep-learning-models-actually-learning-f97a546c5b98) on diagnosing cardiomegaly (enlarged heart).\n",
    "  - The model learns that the portable scanner is used on sicker patients who cannot go to the hospital.\n",
    "- See the README of the [LIME repo](https://github.com/marcotcr/lime).\n",
    "- It can shade the images based on importance, like the above.\n",
    "- Also works for other data types."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extra dependency: LIME\n",
    "\n",
    "```\n",
    "pip install lime\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lime\n",
    "from lime import lime_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "resnet = ResNet50(weights='imagenet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note the important distinction between the choice of architecture (in this case, `ResNet50`) and the choice of dataset (in this case, ImageNet)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's my graduation photo from undergrad:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img_path_bowtie = 'img/gelbart-michael-adam.jpg'\n",
    "img_bowtie = load_img(img_path_bowtie, target_size=(224, 224))\n",
    "plt.imshow(img_bowtie);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_bowtie = img_to_array(img_bowtie).astype('double')\n",
    "x_bowtie = np.expand_dims(x_bowtie, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_bowtie = preprocess_input(x_bowtie) # this modifies the array inplace???"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('n02883205', 'bow_tie', 0.99401516),\n",
       " ('n03838899', 'oboe', 0.002141438),\n",
       " ('n03110669', 'cornet', 0.0010458563)]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preds_bowtie = resnet.predict(x_bowtie)\n",
    "decode_predictions(preds_bowtie, top=3)[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following code is adapted from [one of the LIME example notebooks](https://github.com/marcotcr/lime/blob/master/doc/notebooks/Tutorial%20-%20Image%20Classification%20Keras.ipynb):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer_bowtie = lime_image.LimeImageExplainer()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The next cell is a bit slow (about 1 min on my laptop):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bdff0470cf6143c5ad0c76b514ad6009",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1000.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(1)\n",
    "explanation_bowtie = explainer_bowtie.explain_instance(x_bowtie[0], resnet.predict,\n",
    "                                                       top_labels=5, hide_color=0, \n",
    "                                                       num_samples=1000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_bowtie, mask_bowtie = explanation_bowtie.get_image_and_mask(explanation_bowtie.top_labels[0], \n",
    "                                                                 positive_only=False, num_features=10, hide_rest=False)\n",
    "plt.imshow(mark_boundaries(temp_bowtie, mask_bowtie));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- The image doesn't look quite right because of `preprocess_input` above.\n",
    "- I tried to get around this in various ways, for quite a while, but I couldn't figure it out.\n",
    "  - Tried wrapped `resnet.predict` in a function that does the preprocessing.\n",
    "  - Tried to invert `preprocess_input`.\n",
    "  - Tried to understand what LIME is actually doing inside some of the functions.\n",
    "  - Gave up."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, let's see why it thought my office was a prison!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img_path_office = 'img/office.jpg'\n",
    "img_office = load_img(img_path_office, target_size=(224, 224))\n",
    "plt.imshow(img_office);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_office = img_to_array(img_office)\n",
    "x_office = np.expand_dims(x_office, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_office = preprocess_input(x_office)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('n04005630', 'prison', 0.32494283),\n",
       " ('n03179701', 'desk', 0.07232616),\n",
       " ('n04239074', 'sliding_door', 0.045325305)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preds_office = resnet.predict(x_office)\n",
    "decode_predictions(preds_office, top=3)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer_office = lime_image.LimeImageExplainer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aaac9b80b10b40b38843c8f0154d27d0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1000.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# this is a bit slow again\n",
    "explanation_office = explainer_office.explain_instance(x_office[0].astype('double'), resnet.predict,\n",
    "                                                       top_labels=5, hide_color=0, num_samples=1000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_office, mask_office = explanation_office.get_image_and_mask(explanation_office.top_labels[0], \n",
    "                                                                 positive_only=False, num_features=10, hide_rest=False)\n",
    "plt.imshow(mark_boundaries(temp_office, mask_office));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Huh! This doesn't seem very helpful... I think there's a bug here or the preprocessing issue again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Break (5 min)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "REMINDER TO RESUME RECORDING!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ethics activity (20 min)\n",
    "\n",
    "**Background info.** University admissions offices are known to use ML (often through a specialized 3rd party company) as part of their admissions process. Here are some things they might want to predict (this is a mix of [things](https://www.nytimes.com/interactive/2019/09/10/magazine/college-admissions-paul-tough.html) I've [read](https://www.washingtonpost.com/business/2019/10/14/colleges-quietly-rank-prospective-students-based-their-personal-data/) and some speculation):\n",
    "\n",
    "- What is this student's chance of accepting an offer from us?\n",
    "- How much financial aid do we need to give this student in order for them to accept?\n",
    "- How well might the student do academically at our institution? How likely are they to graduate within 6 years?\n",
    "- Aside from tuition: how likely would the student be to donate in the future? In short, what is their [customer lifetime value](https://en.wikipedia.org/wiki/Customer_lifetime_value)? (We briefly mentioned this in lecture 17 on customer churn!)\n",
    "\n",
    "**Your task:** Watch [this short advertisement](https://www.youtube.com/watch?v=MjTZM7VQDzQ) for CBE, a [product](https://www.capturehighered.com/cbe-marketing-automation/) that helps universities \"engage with prospective students\" using a \"behavioral intelligence platform\". Then, in today's Google Doc, answer at least **one** of the following questions:\n",
    "\n",
    "1. What sort of information could CBE capture that might be useful to feed into an ML algorithm like this?\n",
    "2. What are some possible ethical or fairness concerns about using this information?\n",
    "3. What sort of information about a student _does_ seem reasonable to use as part of the university admissions process?\n",
    "4. What if we're using the same information but having humans make the decisions, instead of ML? Does that change anything?\n",
    "\n",
    "BTW there are clearly some serious _privacy_ issues here, but let's try focus on the ethics/fairness issues.\n",
    "<br><br><br>"
   ]
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    "(optional) Some notes, for those who are interested:\n",
    "\n",
    "- After making predictions for each student, they may try to optimize for a balanced class, e.g. a mix of \"asset types\" to balance out risks. This is reminiscent of [portfolio optimization](https://en.wikipedia.org/wiki/Portfolio_optimization) in finance.\n",
    "- I suspect the situation is a bit better in Canada where most universities, and all top universities, are public. In the US private universities and colleges are a huge industry, and there are even a lot of for-profit post-secondary institutions.\n",
    "- I suspect the vast majority of prospective students are unaware that this information is being collected. Worse, some of these trackers might track activity _outside_ of the school website."
   ]
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    "## If we have time left\n",
    "\n",
    "We can do the \"combining multiple tables\" materials as bonus."
   ]
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